Workday Legal saves 45,000 hours quarterly and achieves 3,500% ROI with contract intelligence
Workday deployed Natural Language Processing for Contract Review & Analysis in Corporate Legal & In-House. As reported by www.workday.com: 45,000+ hours per quarter attorney hours saved.
Source-reported figures — cited source: www.workday.com
What Workday was trying to fix
Workday Legal needed efficient access to data across large volumes of contracts for a range of business needs. The team had to unlock contract visibility without increasing outside counsel spend.
What Workday deployed
The Workday legal team deployed Evisort AI as its contract intelligence platform, becoming “Customer Zero.” The system provided total contract visibility, supported custom models, and fed key contract data into workflows such as Salesforce for Sales and RevOps, as well as M&A diligence and post-merger integration reviews.
Results
With Evisort AI and focused management, Workday Legal saved an average of over 45,000 hours per quarter and achieved a 3,500% ROI from averted legal fees alone. The deployment covers 100,000 contracts and growing. Results were strong enough that Workday acquired Evisort and is now extending the capabilities to customers.
Key Takeaways
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- In-house legal can realize outsized ROI from contract AI when the focus is averted outside counsel spend and operational time savings, not just search speed.
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- Contract intelligence compounds value when extracted data is pushed into adjacent systems (e.g., Salesforce) and reused for M&A diligence and integration.
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- A high-performing legal team acting as Customer Zero can battle-test AI before broader enterprise rollout.
Evidence for Workday's Contract Review & Analysis deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- www.workday.com
- Last updated
- Source link checked
Explore Related
Details
- Industry
- Corporate Legal & In-House
- Use Case
- Contract Review & Analysis
- AI Technology
- Natural Language Processing
- Company Size
- Enterprise
- Company
- Workday
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